aviolante / sas-python-work
☆74Updated 4 years ago
Alternatives and similar repositories for sas-python-work:
Users that are interested in sas-python-work are comparing it to the libraries listed below
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in To…☆73Updated 2 years ago
- Hands-On Ensemble Learning with Python, published by packt publishing☆55Updated 2 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated 9 months ago
- ☆27Updated 6 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- Math behind all the mainstream tree-based machine learning models☆38Updated 5 years ago
- The repository for various machine learning POC☆28Updated 3 years ago
- Fair ML in credit scoring: Assessment, implementation and profit implications☆35Updated 2 years ago
- Quick Implementation in python☆52Updated 5 years ago
- Understanding Data and Machine Learning Models with Visualizations☆39Updated 5 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆52Updated 7 years ago
- Code repository for Ensemble Machine Learning, published by Packt☆48Updated 4 years ago
- A re-creation of SAS varclus procedure in Python☆23Updated 6 years ago
- Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…☆64Updated 4 years ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆41Updated 4 years ago
- ☆136Updated 6 years ago
- Fraud Detection in Python, DataCamp course☆12Updated 5 years ago
- Applied Machine Learning with Python☆78Updated last year
- ☆23Updated 4 years ago
- Code files for my medium blog☆17Updated 4 years ago
- Mastering Machine Learning Algorithms Second Edition, published by Packt☆61Updated 4 years ago
- ☆60Updated 5 years ago
- Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms☆30Updated 7 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 7 years ago
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆44Updated last year
- Ensemble Machine Learning Cookbook, published by Packt☆60Updated 2 years ago
- Hands On Transfer Learning with Python, published by Packt☆83Updated 2 years ago
- ☆53Updated 2 years ago
- ☆24Updated 6 years ago